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Keywords:business dynamism 

Journal Article
What keeps small business owners up at night?

Financial Insights , Volume 3 , Issue 2 , Pages 1-4

Journal Article
Local Origins of Business Formation

Using comprehensive administrative data on business applications, we find that startups per capita exhibit enormous variation across counties and tracts in the United States. We decompose this spatial variation into two components: variation in business ideas per capita and in their rate of transition to startups. Both components matter for the variation in startups per capita. Furthermore, local demographic, economic, financial, and business conditions account for a significant fraction of the variation in startups per capita and in its components. In particular, income, education, age, and ...
Policy Hub , Volume 2023 , Issue 7 , Pages 12

Journal Article
Business Dynamism in the Eighth District

Business dynamism rates in the Federal Reserve’s Eighth District are about 1 percentage point lower than in the rest of the country.
The Regional Economist

Journal Article
Business Dynamism and City Size

Business dynamism has been decreasing since the 1980s, but less so for larger cities.
Economic Synopses , Issue 4 , Pages 1-2

Briefing
Why Are Startups Important for the Economy?

Startups come in all shapes and sizes. While small in number, a small group of successful startups is important for understanding aggregate outcomes such as employment and productivity. In this article, we look at some distinguishing characteristics of startups and what makes them important for the aggregate economy. Furthermore, we dig into the cause behind the long-run decline in U.S. entrepreneurism and whether the recent pandemic broke these trends. While the recent surge in business applications seems encouraging at first, there are signs that it reflects a restructuring of the economy ...
Richmond Fed Economic Brief , Volume 23 , Issue 06

Working Paper
COVID-19 and SMEs: A 2021 "Time Bomb"?

This paper assesses the prospects of a 2021 time bomb in small and medium-sized enterprises (SME) failures triggered by the generous support policies enacted during the 2020 COVID-19 crisis. Policies implemented in 2020, on their own, do not create a 2021 time bomb for SMEs. Rather, business failures and policy costs remain modest. By contrast, credit contraction poses significant risk. Such a contraction would disproportionately affect firms that could have survived COVID-19 in 2020 without any fiscal support. Even in that scenario, most business failures would not arise from excessively ...
FRB Atlanta Working Paper , Paper 2021-6

Discussion Paper
Does Income Inequality Affect Small Firms?

The share of income going to high-income households has increased significantly in the United States in recent decades. In 1980, the average income share of earners in the top 10 percent was around 30 percent. However, by 2015, it had surpassed 45 percent. The employment share of small firms has also declined, with a decrease of approximately 5 percentage points over the same period. In this post, we use variation across states to show a correlation between these two developments, with states having the greatest increase in the upper income share also tending to be those with the biggest job ...
Liberty Street Economics , Paper 20231005

Working Paper
The Local Origins of Business Formation

What locations generate more business ideas, and where are ideas more likely to turn into businesses? Using comprehensive administrative data on business applications, we analyze the spatial disparity in the creation of business ideas and the formation of new employer startups from these ideas. Startups per capita exhibit enormous variation across granular units of geography. We decompose this variation into variation in ideas per capita and in their rate of transition to startups, and we find that both components matter. Observable local demographic, economic, financial, and business ...
FRB Atlanta Working Paper , Paper 2023-9

Report
Demographic origins of the startup deficit

We propose a simple explanation for the long-run decline in the U.S. startup rate. It originates from a slowdown in labor supply growth since the late 1970s, largely pre-determined by demographics. This channel can explain roughly 60 percent of the decline and why incumbent firm survival and average growth over the lifecycle have changed little. We show these results in a standard model of firm dynamics and test the mechanism using cross-state variation in labor supply growth. Finally, we show that a longer entry rate series imputed using historical establishment tabulations rises over the ...
Staff Reports , Paper 888

Report
A unified approach to measuring u*

This paper bridges the gap between two popular approaches to estimating the natural rate of unemployment, u*. The first approach uses detailed labor market indicators, such as labor market flows, cross-sectional data on unemployment and vacancies, or various measures of demographic changes. The second approach, which employs reduced-form models and DSGE models, relies on aggregate price and wage Phillips curve relationships. We combine the key features of these two approaches to estimate the natural rate of unemployment in the United States using both data on labor market flows and a ...
Staff Reports , Paper 889

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